An Examination of “Don't Know” Responses in Forensic Interviews with Children
Bibliographic record
Abstract
Most experimental studies examining the use of pre-interview instructions (ground rules) show that children say "I don't know" more often when they have been encouraged to do so when appropriate. However, children's "don't know" responses have not been studied in more applied contexts, such as in investigative interviews. In the present study, 76 transcripts of investigative interviews with allegedly abused children revealed patterns of "don't know" responding, as well as interviewers' reactions to these responses. Instructions to say "I don't know" when appropriate did not affect the frequency with which children gave these responses. Interviewers rejected "don't know" responses nearly 30% of the time, and typically continued to ask about the same topic using more risky questions. Children often answered these follow-up questions even though they had previously indicated that they lacked the requested information. There was no evidence that "don't know" responses indicated reluctance to talk about abuse. Implications for forensic interviewers are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.092 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".